AI Agents & Applied Intelligence
Autonomous systems that read your data, make a decision, and act inside the tools your team already uses.
Typical stack
- OpenAI
- Claude AI
- LangChain
- pgvector
- On-Premise LLM
- LiteLLM
- Deepgram
- Python
- TypeScript
An agent absorbs the work that scales linearly with headcount — research, triage, screening, drafting, answering. The result is not a faster human process. It is a process that no longer needs a human in the loop.
What you get
- 01Multi-agent orchestration
- 02RAG & knowledge systems
- 03Natural-language data access
- 04On-premise LLM deployment
- 05Conversational applications
Where teams usually go next.
- 01
Intelligent Process Automation
Recurring operational work rebuilt as workflows that run on a schedule, handle their own exceptions, and need no one to remember them.
- 02
Data, Analytics & Business Intelligence
Pipelines, models, and dashboards that turn operational data into decisions people actually make.
- 03
Product & Platform Engineering
Multi-tenant SaaS, enterprise ERPs, and internal platforms engineered to carry a business for years, not quarters.
- 04
Connected Systems & IoT
Edge devices, telemetry pipelines, and offline-first software for operations that happen away from a desk.
Tell us what the process costs you today.
That number decides whether any of this is worth building. Bring it to the call and we can get to a straight answer inside half an hour.
- Emailsupport@eletech.io
- RepliesWithin one working day
30 min · no charge
Pick a time and we’ll talk it through.
- 30 min, and no charge for it
- Bring the process and what it costs you today
- A straight answer — including “don’t build this”